无人机网络控制器

OpenJournalofAcousticsandVibration声学与振动,2020,8(1),1-8PublishedOnlineMarch2020inHans.
http://www.
hanspub.
org/journal/ojavhttps://doi.
org/10.
12677/ojav.
2020.
81001文章引用:曹俊灵,钟顺,孙子涵,韩佳杰,王超.
基于BP神经网络的小型四旋翼无人机的PID控制[J].
声学与振动,2020,8(1):1-8.
DOI:10.
12677/ojav.
2020.
81001PIDControlofQuadrotorUAVBasedonBPNeuralNetworkJunlingCao1,ShunZhong2*,ZihanSun2,JiajieHan3,ChaoWang31TianjinLiandaCommunicationDevelopmentCo.
,LTD.
,Tianjin2DepartmentofMechanics,TianjinUniversity,Tianjin3HebeiRuizhaoLaserRemanufacturingTechnologyStockCo.
,Ltd.
,TangshanHebeiReceived:Jan.
2nd,2020;accepted:Jan.
12th,2020;published:Jan.
19th,2020AbstractThequadrotorUAVisastrongcouplingandunderactuatedmulti-degreeoffreedomnonlinearsystem,sothecontrolofthequadrotorUAVisveryimportant.
Thisworkoptimizestheparame-tersofPIDcontrollerbasedonBPneuralnetwork.
TheresultsindicatethatcomparedwiththetraditionalPIDcontrol,theresultsfromBPneuralnetworkhavebetterperformance,whichwouldprovideanewmethodandideaforthecontroldesignofsmallquadrotorUAV.
KeywordsPID,Quadrotor,BPNeuralNetwork,MachineLearning基于BP神经网络的小型四旋翼无人机的PID控制曹俊灵1,钟顺2*,孙子涵2,韩佳杰3,王超31天津市联大通讯发展有限公司,天津2天津大学力学系,天津3河北瑞兆激光再制造股份有限公司,河北唐山收稿日期:2020年1月2日;录用日期:2020年1月12日;发布日期:2020年1月19日摘要四旋翼无人机是一个强耦合、欠驱动的多自由度非线性系统,因此对四旋翼无人机的控制十分的重要.